LabPlot

joined 3 years ago
 

#LabPlot, the project for #statisticians, #researchers, #scientists, #engineers, #educators and #students, publishes version 2.12 of its #FREE comprehensive #dataAnalysis and #visualization tool. :boost_love:🚀

This version adds more plots and #plot sub-types, expands the number of functions for spreadsheets, includes new analysis tools, as well as an experimental software development kit.

https://labplot.org/2025/04/28/labplot-2-12-released/

@labplot@lemmy.kde.social
@opensource

#FreeSoftware #OpenSource #FOSS #FLOSS #SPC #Deming

 

@opensource @labplot@lemmy.kde.social

Did you know that #LabPlot is listed in the French Interministerial Free Software Catalog as one of the recommended free applications for #French public agencies?

➡️ https://code.gouv.fr/sill/detail?name=LabPlot

Keywords : Graphique scientifique, visualisation de données, traitement de données, analyse de données, statistiques, courbes

#OpenSource #FreeSoftware #FOSS #FLOSS #SoftwareLibre #France

[–] LabPlot@floss.social 0 points 1 year ago

@IanSudbery @programming

Assuming a steady flow of bugs of the same kind, we share the same line of reasoning.

-25
submitted 1 year ago* (last edited 1 year ago) by LabPlot@floss.social to c/programming@programming.dev
 

SAME STATS, DIFFERENT IMPROVEMENTS

@programming

After 12 months of managing #bugs, #developers A, B, and C changed their approach.

Assuming a steady flow of bugs of the same kind, whose change is an improvement❓

Boosts appreciated! 🙂 :boost_love:

More generally, the problem is domain independent.

#OpenSource #FreeSoftware #FOSS #FLOSS #Software #Tech #Development #Engineering #Business #Improvement #Software #Programming #Python #InfoSec #Statistics #Linux

[–] LabPlot@floss.social -2 points 2 years ago* (last edited 2 years ago) (1 children)

@Hazdaz @science

Is the act of distinguishing a question from an answer as difficult as recognizing spurious correlations?

The question has been raised earlier by others,. See for example this paper from 2021 (Measuring the effect of energy consumption on the epidemic
of overweight in Latin America and Caribbean countries):

https://dialnet.unirioja.es/descarga/articulo/8100043.pdf

[–] LabPlot@floss.social 0 points 2 years ago

@edwiebe @science

If you are interested, please see also this thread on the importance of visualizing data (the Anscombe's quartet, Simpson's paradox are also included in @LabPlot):

https://mstdn.social/@onemoment/109692198312380103

#Anscombe #SimpsonsParadox #DatasaurusDozen #Visualization #DataViz

[–] LabPlot@floss.social -1 points 2 years ago* (last edited 2 years ago) (1 children)

@edwiebe @science

We agree. But still, a question is just a question, and you can always refine your questions.

Matejka, J., & Fitzmaurice, G. (2017). Same Stats, Different Graphs: Generating Datasets with Varied Appearance and Identical Statistics through Simulated Annealing.

BTW, the Datasaurus Dozen example is already available in @LabPlot via File > Open Example.

[–] LabPlot@floss.social -1 points 2 years ago (1 children)

@Spuddaccino

For example: Tonga, Samoa, Kiribati, Nauru with electricity consumption per capita (the median) 548 kWh.

 

Is there a causal relationship between electricity consumption and obesity, or is it just an illusory correlation❓

@science @dataisbeautiful @health

The plot and curve fitting made in @LabPlot, a FREE, open source Data Visualization and Analysis software. It works on #Windows, #Linux and #macOS.

➡️ https://labplot.kde.org/download

#Data compiled for 184 countries.

#FOSS #FLOSS #OpenSource #FreeSoftware #DataViz #Visualization #Obesity #Health #ClimateChange #ClimateCrisis #Climate #Food